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The covariation for Banach space valued processes and applications

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Abstract

This article focuses on a recent concept of covariation for processes taking values in a separable Banach space \(B\) and a corresponding quadratic variation. The latter is more general than the classical one of Métivier and Pellaumail. Those notions are associated with some subspace \(\chi \) of the dual of the projective tensor product of \(B\) with itself. We also introduce the notion of a convolution type process, which is a natural generalization of the Itô process and the concept of \(\bar{\nu }_0\)-semimartingale, which is a natural extension of the classical notion of semimartingale. The framework is the stochastic calculus via regularization in Banach spaces. Two main applications are mentioned: one related to Clark–Ocone formula for finite quadratic variation processes; the second one concerns the probabilistic representation of a Hilbert valued partial differential equation of Kolmogorov type.

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References

  • Bender C, Sottinen T, Valkeila E (2008) Pricing by hedging and no-arbitrage beyond semimartingales. Finance Stoch 12(4):441–468

    Article  MATH  MathSciNet  Google Scholar 

  • Bertoin J (1986) Les processus de Dirichlet en tant qu’espace de Banach. Stochastics 18(2):155–168

    Article  MATH  MathSciNet  Google Scholar 

  • Brzeźniak Z (1995) Stochastic partial differential equations in M-type 2 Banach spaces. Potential Anal 4(1):1–45

    Article  MATH  MathSciNet  Google Scholar 

  • Cerrai S, Gozzi F (1995) Strong solutions of Cauchy problems associated to weakly continuous semigroups. Differ Integral Equ 8:465–465

    MATH  MathSciNet  Google Scholar 

  • Cont R, Fournié D (2010) Change of variable formulas for non-anticipative functionals on path space. J Funct Anal 259:1043–1072

    Google Scholar 

  • Coviello R, Russo F (2007) Nonsemimartingales: stochastic differential equations and weak Dirichlet processes. Ann Probab 35(1):255–308

    Article  MATH  MathSciNet  Google Scholar 

  • Coviello R, Di Girolami C, Russo F (2011) On stochastic calculus related to financial assets without semimartingales. Bull Sci Math 135(6–7):733–774

    Article  MATH  MathSciNet  Google Scholar 

  • Da Prato G, Zabczyk J (1992) Stochastic equations in infinite dimensions, Encyclopedia of Mathematics and its Applications, vol 44. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Da Prato G, Zabczyk J (1996) Ergodicity for infinite-dimensional systems. In: London Mathematical Society. Lecture note series, vol 229. Cambridge University Press, Cambridge

  • Da Prato G, Zabczyk J (2002) Second order partial differential equations in Hilbert spaces. Cambridge University Press, Cambridge

    Book  MATH  Google Scholar 

  • Dalang RC (1999) Extending the martingale measure stochastic integral with applications to spatially homogeneous s.p.d.e.’s. Electron J Probab 4(6):29 (electronic)

    Google Scholar 

  • Dettweiler E (1989) On the martingale problem for Banach space valued stochastic differential equations. J Theor Probab 2(2):159–191

    Article  MATH  MathSciNet  Google Scholar 

  • Dettweiler E (1991) Stochastic integration relative to Brownian motion on a general Banach space. Doğa Mat 15(2):58–97

    MATH  MathSciNet  Google Scholar 

  • Di Girolami C, Russo F (2010) Infinite dimensional stochastic calculus via regularization and applications. Preprint HAL-INRIA. http://hal.archives-ouvertes.fr/inria-00473947/fr/ (unpublished)

  • Di Girolami C, Russo F (2011) Clark–Ocone type formula for non-semimartingales with finite quadratic variation. CR Math Acad Sci Paris 349(3–4):209–214

    Google Scholar 

  • Di Girolami C, Russo F (2012) Generalized covariation and extended Fukushima decomposition for Banach space-valued processes: applications to windows of Dirichlet processes. Infin Dimens Anal Quantum Probab Relat Top 15(2):1250,007,50

    Article  Google Scholar 

  • Di Girolami C, Russo F (2013) Generalized covariation for Banach space valued processes. Itô formula and applications. Osaka J Math (to appear)

  • Dinculeanu N (2000) Vector integration and stochastic integration in Banach spaces. Pure and Applied Mathematics (New York). Wiley-Interscience, New York

    Book  Google Scholar 

  • Dupire B (2009) Functional Itô calculus. Bloomberg Portfolio Research, paper no. 2009-04-FRONTIERS. http://ssrn.com/abstract=1435551

  • Engel KJ, Nagel R (1999) One-parameter semigroups for linear evolution equations. Springer, Berlin

    Google Scholar 

  • Errami M, Russo F (2003) \(n\)-covariation, generalized Dirichlet processes and calculus with respect to finite cubic variation processes. Stoch Process Appl 104(2):259–299

    Article  MATH  MathSciNet  Google Scholar 

  • Fabbri G, Russo F (2012) Infinite dimensional weak Dirichlet processes, stochastic PDEs and optimal control. HAL-INRIA. http://hal.inria.fr/hal-00720490 (preprint)

  • Föllmer H (1981a) Calcul d’Itô sans probabilités. In: Seminar on Probability, XV (Univ. Strasbourg, Strasbourg, 1979/1980) (French). Lecture notes in mathematics, vol 850. Springer, Berlin, pp 143–150.

  • Föllmer H (1981b) Dirichlet processes. In: Stochastic integrals (Proceedings of a symposium University of Durham, Durham, 1980). Lecture notes in mathematics, vol 851. Springer, Berlin, pp 476–478

  • Gawarecki L, Mandrekar V (2011) Stochastic differential equations in infinite dimensions with applications to stochastic partial differential equations. Probability and its applications (New York). Springer, Heidelberg

  • Gozzi F (1997) Strong solutions for Kolmogorov equations in Hilbert spaces. In: Partial differential equation methods in control and shape analysis. Lecture notes in pure and applied mathematics. vol 188, Marcel Dekker, pp 163–188

  • Gozzi F, Russo F (2006a) Verification theorems for stochastic optimal control problems via a time dependent Fukushima–Dirichlet decomposition. Stoch Process Appl 116(11):1530–1562

    Article  MATH  MathSciNet  Google Scholar 

  • Gozzi F, Russo F (2006b) Weak Dirichlet processes with a stochastic control perspective. Stoch Process Appl 116(11):1563–1583

    Article  MATH  MathSciNet  Google Scholar 

  • Houdré C, Villa J (2003) An example of infinite dimensional quasi-helix. In: Stochastic models (Mexico City, 2002). Contemporary mathematics. vol 336, American Mathematical Society, Providence, pp 195–201

  • Krylov NV, Rozovskii BL (2007) Stochastic evolution equations. In: Baxendale PH, Lototsky SV (eds) Stochastic differential equations: theory and applications, Interdisciplinary Mathematical Sciences, vol 2. World Scientific, Singapore, pp 1–70

    Chapter  Google Scholar 

  • Malliavin P (1997) Stochastic analysis, Grundlehren der Mathematischen Wissenschaften, vol 313. Springer, Berlin

    Google Scholar 

  • Métivier M (1982) Semimartingales: a course on stochastic processes, De Gruyter Studies in Mathematics, vol 2. Walter de Gruyter, Berlin

    Book  Google Scholar 

  • Métivier M, Pellaumail J (1980) Stochastic integration, Probability and Mathematical Statistics. Academic Press, New York

    Google Scholar 

  • Nualart D (2006) The Malliavin calculus and related topics, 2nd edn. Springer, Berlin

    MATH  Google Scholar 

  • Ondreját M (2004) Uniqueness for stochastic evolution equations in Banach spaces. Diss Math (Rozprawy Mat) 426:1–63

    MATH  Google Scholar 

  • Pardoux É (1975) Equations aux dérivées partielles stochastiques non linéaires monotones. etude de solutions fortes de type Itô. Ph.D. thesis, Université Paris Sud, Centre d’Orsay

  • Pazy A (1983) Semigroups of linear operators and applications to partial differential equations, Applied Mathematical Sciences, vol 44. Springer, New York

    Book  Google Scholar 

  • Prévôt C, Röckner M (2007) A concise course on stochastic partial differential equations. Lecture notes in mathematics, vol 1905. Springer, Berlin

  • Priola E (1999) On a class of Markov type semigroups in spaces of uniformly continuous and bounded functions. Studia Math 136(3):271–295

    MATH  MathSciNet  Google Scholar 

  • Russo F, Tudor CA (2006) On bifractional Brownian motion. Stoch Proc Appl 116(5):830–856. doi:10.1016/j.spa.2005.11.013

    Article  MATH  MathSciNet  Google Scholar 

  • Russo F, Vallois P (1991) Intégrales progressive, rétrograde et symétrique de processus non adaptés. CR Acad Sci Paris Sér I Math 312(8):615–618

    MATH  MathSciNet  Google Scholar 

  • Russo F, Vallois P (1993a) Forward, backward and symmetric stochastic integration. Probab Theory Relat Fields 97(3):403–421

    Article  MATH  MathSciNet  Google Scholar 

  • Russo F, Vallois P (1993b) Noncausal stochastic integration for làd làg processes. In: Lindstrom T, Oksendal B, Ustunel AS (eds) Stochastic analysis and related topics (Oslo, 1992), Stochastics monographs, vol 8. Gordon and Breach, Montreux, pp 227–263

  • Russo F, Vallois P (2000) Stochastic calculus with respect to continuous finite quadratic variation processes. Stoch Stoch Rep 70(1–2):1–40

    Article  MATH  MathSciNet  Google Scholar 

  • Russo F, Vallois P (2007) Elements of stochastic calculus via regularization. In: Séminaire de Probabilités XL. Lecture notes in mathematics, vol 1899. Springer, Berlin, pp 147–185

  • Ryan RA (2002) Introduction to tensor products of Banach spaces, Springer Monographs in Mathematics. Springer, London

    Book  Google Scholar 

  • Schoenmakers JGM, Kloeden PE (1999) Robust option replication for a Black–Scholes model extended with nondeterministic trends. J Appl Math Stoch Anal 12(2):113–120

    Article  MATH  MathSciNet  Google Scholar 

  • Üstünel AS (1987) Representation of the distributions on Wiener space and stochastic calculus of variations. J Funct Anal 70(1):126–139

    Article  MathSciNet  Google Scholar 

  • van Neerven JMAM, Veraar MC, Weis L (2007) Stochastic integration in UMD Banach spaces. Ann Probab 35(4):1438–1478

    Article  MATH  MathSciNet  Google Scholar 

  • Walsh J (1986) An introduction to stochastic partial differential equations. In: École d’Été de Probabilités de Saint Flour XIV-1984. Lecture notes in mathematics, vol 1080. Springer, Berlin, pp 265–439

  • Watanabe S (1984) Lectures on stochastic differential equations and Malliavin calculus. Tata Institute of Fundamental Research, Bombay

    MATH  Google Scholar 

  • Zähle M (2002) Long range dependence, no arbitrage and the Black–Scholes formula. Stoch Dyn 2(2): 265–280

    Google Scholar 

Download references

Acknowledgments

The research was supported by the ANR Project MASTERIE 2010 BLAN-0121-01. The second named author was partially supported by the Post-Doc Research Grant of Unicredit & Universities and his research has been developed in the framework of the center of excellence LABEX MME-DII (ANR-11-LABX-0023-01). The authors are grateful to two anonymous Referees for reading carefully the paper and helping us in improving its quality.

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Di Girolami, C., Fabbri, G. & Russo, F. The covariation for Banach space valued processes and applications. Metrika 77, 51–104 (2014). https://doi.org/10.1007/s00184-013-0472-6

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